https://alphacephei.com/vosk/install

======= install ========
pip install vosk
pip install srt
pip install sounddevice


========= config ============
from vosk import Model, KaldiRecognizer, SetLogLevel
import sys
import os
import wave
import subprocess
import srt
import json
import datetime

sample_rate=16000
model = Model(r"D:\DEV\models\vosk-model-small-ru-0.15")
rec = KaldiRecognizer(model, sample_rate)

=========== use =============
process = subprocess.Popen(['ffmpeg', '-loglevel', 'quiet', '-i',
                            sys.argv[1],
                            '-ar', str(sample_rate) , '-ac', '1', '-f', 's16le', '-'],
                            stdout=subprocess.PIPE)


WORDS_PER_LINE = 7

def transcribe():
    results = []
    subs = []
    while True:
       data = process.stdout.read(4000)
       if len(data) == 0:
           break
       if rec.AcceptWaveform(data):
           results.append(rec.Result())
    results.append(rec.FinalResult())

    for i, res in enumerate(results):
       jres = json.loads(res)
       if not 'result' in jres:
           continue
       words = jres['result']
       for j in range(0, len(words), WORDS_PER_LINE):
           line = words[j : j + WORDS_PER_LINE] 
           s = srt.Subtitle(index=len(subs), 
                   content=" ".join([l['word'] for l in line]),
                   start=datetime.timedelta(seconds=line[0]['start']), 
                   end=datetime.timedelta(seconds=line[-1]['end']))
           subs.append(s)
    return subs